Abstract Even with the utilization of software tools like Navisworks to automate clash detection, clash resolution in construction projects remains a slow and manual process. The reason is the meticulous nature of the process where coordinators need to ensure that resolving one clash does not lead to new clashes. The use of machine learning toContinue reading “Developing a Machine-Learning Model to Predict Clash Resolution Options”
Category Archives: IoT & Cyber-Physical System
Assistance from the Ambient Intelligence: Cyber–physical system applications in smart buildings for cognitively declined occupants
Abstract Caregivers have traditionally provided assistance and care to patients with cognitive decline, but this has resulted in financial and emotional burdens for both caregivers and patients, impacting their quality of life. To address this issue, Ambient Assistive Living (AAL) technologies that incorporate Internet of Things (IoT) and Artificial Intelligence (AI) can replace or complement caregivers by enabling intelligentContinue reading “Assistance from the Ambient Intelligence: Cyber–physical system applications in smart buildings for cognitively declined occupants”
Graph-Based Simulation for Cyber-Physical Attacks on Smart Buildings
Abstract As buildings evolve toward the envisioned smart building paradigm, smart buildings’ cybersecurity issues, and physical security issues are mingling. Although research studies have been conducted to detect and prevent physical (or cyber) intrusions to smart building systems (SBS), it is still unknown (1) how one type of intrusion facilitates the other and (2) howContinue reading “Graph-Based Simulation for Cyber-Physical Attacks on Smart Buildings”
Internet of Things Enabled Data Acquisition Framework for Smart Building Applications
Abstract With the networks of sophisticated sensors and devices, building systems have the potential to serve as the infrastructure that provides essential data for the Internet of Things (IoT)-enabled smart city paradigm. However, current building systems lack intersystem connectivity or exposure to the more extensive networks of IoT devices. In this paper, the authors proposeContinue reading “Internet of Things Enabled Data Acquisition Framework for Smart Building Applications”
A framework of developing machine learning models for facility life-cycle cost analysis
Abstract Machine learning techniques have been used for predicting facility-related costs but there is a lack of research on developing machine learning models for the complete life-cycle cost (LCC) analysis of facilities. This research aims to systematically investigate the feasibility of forecasting facilities’ LCC by implementing machine learning on historical data. The authors propose aContinue reading “A framework of developing machine learning models for facility life-cycle cost analysis”
BIM assisted Building Automation System information exchange using BACnet and IFC
Highlights Abstract Smart buildings are the trend of the next generation’s commercial buildings that link different building systems together with the Building Automation System (BAS). Building information modeling (BIM) assists in data exchange and information flow. Previous research has explored BAS and BIM integration for energy management, building design optimization and operation, and building fault detection and diagnostics. However, it is rarely seenContinue reading “BIM assisted Building Automation System information exchange using BACnet and IFC”
A meta-model-based optimization approach for fast and reliable calibration of building energy models
Highlights Abstract Building energy model calibration with optimization aims to bridge the gap between simulated energy consumption and measurement, thus aiding building retrofit and operation. However, the difficulty of the optimization in calibration including both optimization hyperparameter settings and problem complexity (multi-modal and under-determined) make the calibration with optimization approach difficult to be applied in practice with fullContinue reading “A meta-model-based optimization approach for fast and reliable calibration of building energy models”
A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment
Abstract With the networks of sophisticated sensors and devices, building systems have the potential to serve as the infrastructure that provides essential data for the Internet of things (IoT)-enabled smart city paradigm. However, current building systems lack inter-system connectivity or exposure to the larger networks of IoT devices. In this paper, we propose a scalableContinue reading “A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment”
Machine Learning Applications in Facility Life-Cycle Cost Analysis: A Review
Abstract A large amount of resources are spent on constructing new facilities and maintaining the existing ones. The total cost of facility ownership can be minimized by focusing on reducing the facilities life-cycle costs (LCCs) rather than the initial design and construction costs. With the developments of machine learning in predictive analytics and the utilizingContinue reading “Machine Learning Applications in Facility Life-Cycle Cost Analysis: A Review”
A Framework for Developing Machine Learning Models for Facility Life Cycle Cost Analysis through BIM and IoT
Summary A large amount of resources are spent on constructing new facilities and maintaining the existing ones. The total cost of facility ownership can be minimized by focusing on reducing the facilities life-cycle costs (LCC) rather than the initial design and construction costs. This thesis presents a research project that developed a machine learning-enabled facilityContinue reading “A Framework for Developing Machine Learning Models for Facility Life Cycle Cost Analysis through BIM and IoT”
Ray Gao's Cabinet of Curiosities 